Nano Energy 63 (2019) 103856
Contents lists available at ScienceDirect
Nano Energy journal homepage: www.elsevier.com/locate/nanoen
Full paper
Amplitude-variable output characteristics of triboelectric-electret nanogenerators during multiple working cycles
T
Hanlu Zhanga, Shan Fenga, Delong Hea,**, Philippe Moliniéb, Jinbo Baia,* a
Laboratoire Mécanique des Sols, Structures et Matériaux (MSSMat), CNRS UMR 8579, CentraleSupélec, Université Paris-Saclay, 8-10 Rue Joliot-Curie, 91190, Gif-surYvette, France b GEEPS Laboratory, CentraleSupélec, 91192, Gif-sur-Yvette Cedex, France
A R T I C LE I N FO
A B S T R A C T
Keywords: Triboelectric-electret nanogenerator Continuous working cycles Amplitude-variable output Average output power Initial condition Load resistance
Triboelectric-electret nanogenerator (TENG) has recently become a research hotspot in the field of energy harvesting due to its advantages in low-cost, compact structure, broad applicability, and high efficiency. In this work, we calculated the charge transfer process and the output voltage/current/power of a contact-separation mode TENG driven by continuous periodic reciprocating movements with acceleration/deceleration processes, using symbolic computations in MATLAB. The calculated amplitudes of output voltage/current peaks of the TENG vary during multiple working cycles over time in an exponential form and gradually convergence to steady ranges. For the first time, these variations, along with the asymmetry between the output positive and negative voltage/current peaks of the TENG, were attributed to the lag of the charge transfer cycle relative to the periodic movement cycle with both theoretical and experimental evidence. A detailed investigation was conducted on the influence of the initial condition and the load resistance on the variation of TENG output voltage peaks. The optimum load resistance (Ropt) was obtained by calculating the average output power of the TENG per movement cycle (AvgP). Both Ropt and AvgP can be quite different in the steady output ranges from those in the first working cycle if the TENG starts working from the contact state. These results may be important for evaluating and optimizing the output of TENGs in a steady continuous working mode, and for designing TENGs in accordance with their working environment and circuit loads.
1. Introduction Triboelectric-electret nanogenerators (TENGs) are intensively researched in recent years for their broad prospects in efficiently generating electricity from ambient mechanical movements to power diverse electronic devices and construct self-powered systems [1–14], or work as active sensors [15–20]. In comparison with electromagnetic generators, TENGs are light-weight, low-cost, and more efficient in harvesting low-frequent small-scale kinetic energy with simple compact structures [21–28]. Among the five different modes of TENGs, the contact-separation mode has the second largest maximum structural figure-of-merit [29]. Theoretical models for TENGs were well established [30–41]. However, variations in the amplitude of output voltage/current/power of TENGs during multiple continuous working cycles were seldom studied. Besides, some theoretical researches consider only a single separation process of contact-separation mode TENGs and use the instantaneous peak power to obtain the optimum load
*
resistance [31,33], which may be not appropriate to evaluate the actual performance of TENGs during continuous working. In addition, in previous theoretical calculations/simulations, only movements at constant velocity without acceleration/deceleration processes and movements described by sine or cosine functions were considered [31,33,38,39]. Though some researchers have found the amplitudevariable output voltage [38] or current [39] of TENGs driven by continuous sine or cosine movements, detailed characteristics and causes of these phenomena need to be further discussed. In this article, firstly, we gave analytical solutions of the charge transfer differential equation of TENGs with a resistive load and arbitrary initial conditions. Secondly, we defined a piecewise periodic reciprocating movement and used symbolic computations in MATLAB to calculate the charge transfer process and the output voltage/current/ power of a specific contact-separation mode TENG driven by the defined movement, with two typical initial conditions. According to obtained results, there are variations in the amplitude of output current/
Corresponding author. Corresponding author. E-mail addresses:
[email protected] (D. He),
[email protected] (J. Bai).
**
https://doi.org/10.1016/j.nanoen.2019.103856 Received 20 May 2019; Received in revised form 24 June 2019; Accepted 25 June 2019 Available online 29 June 2019 2211-2855/ © 2019 Elsevier Ltd. All rights reserved.
Nano Energy 63 (2019) 103856
H. Zhang, et al.
voltage/power peaks of the TENG during multiple movement cycles. The causes of these variations were analyzed according to the calculated charge transfer process. Characteristics of the variation in the amplitude of output voltage peaks of the TENG with different load resistances and initial conditions were discussed in detail. Thirdly, QV cycle diagrams calculated from the two initial conditions were compared, and the optimum load resistance was gotten by calculating the average output power of the TENG per movement cycle. At last, variations in the amplitude of the output voltage peaks of a real TENG driven by a linear motor were verified by both experimental and calculated data. The methods and results presented in this work can be very helpful in evaluating the real performance of TENGs in a certain working environment, which is important for applying TENGs in practical energy harvesting and self-powered systems. 2. Methods 2.1. Model and calculations Fig. 1. (a) The cross-section structure of the triboelectric-electret nanogenerator (TENG). (b) The simplified equivalent circuit model of the TENG. (c) The time-dependent air gap, velocity-v, acceleration/deceleration-a, and (d) total capacitance of the TENG (CTENG).
A simplified physical model based on the conservation law of charge, Gauss' law, Kirchhoff's law, and Ohm's law for TENGs was used to describe the time-dependent charge transfer process in TENGs with purely resistive loads [31]. Symbolic computation in MATLAB was used to solve the fundamental differential equation of this model.
the top side of the electret film. In the electric equilibrium state, we used Qeq(t) instead of Q(t) to represent the charge amount on the back electrode for distinction. According to the Gauss’ law, the back electrode holds an electric potential of Qeq(t)/Cf, while the top electrode holds an electric potential of (σS-Qeq(t))/Cgap (t), both taking the top side of the electret film as the reference. So, there are
2.2. Experimental measurements A piece of 4 cm × 4 cm sized 100 μm-thick polytetrafluoroethylene (PTFE) film was used as the triboelectric-electret film in the TENG, with conductive copper adhesive tape pasted on one side as the back electrode. The PTFE film was attached on the slider block of a linear motor system (Afag Electro slider ES20-100 with LinMot servo drive and controlled through the LinMot-Talk software), with the naked side outward. A same 4 cm × 4 cm sized aluminum foil was attached to a fixed plate faced with the PTFE film, working as the top electrode for the TENG. The top and back electrodes were connected to an oscilloscope (Wavejet 354A, Lecroy) through high impedance probes to measure the output voltage of the TENG during the back-and-forth movement of the PTFE film driven by the linear motor. The photograph of the TENG and the testing set-up are presented in Fig. S1 in the supporting information. The transferred charge amount was recorded with a Keithley 6514 electrometer. Before each measurement, the top and back electrodes were short-circuited to ensure the electrostatic equilibrium.
Qeq (t ) Cf
=
Qeq (t ) =
σS − Qeq (t ) Cgap (t )
σSCf Cf + Cgap (t )
(1)
=
σSεr / df εr / df + 1/ z (t )
=
σSz (t ) , d 0 + z (t )
(2)
where d0 is the effective thickness constant of the electret film defined as df/εr to simply the equation [31]. Qeq is the same as the short-circuit transferred charge in other articles [30,31], which is reasonable since the two electrodes will always have the same electric potential if they were short-circuited. With the relative approaching and separating movement between the top electrode and the electret film, Cgap changes with z while Cf keeps unchanged, leading to the charge transfer between the top and back electrodes to eliminate the difference in the electric potential caused by the variation of Cgap. According to the Gauss' law, the Kirchhoff's law, and the Ohm's law, the following equation can describe this charge transfer process [31]:
3. Modeling Fig. 1(a) depicts the simplified cross-section structure of the contactseparation mode TENG. In the sketch, -σ represents the effective surface charge density on the top side of the electret film, S is the area of the film, ε0 is the absolute permittivity of air (usually the value of vacuum permittivity is used), εr and df is the relative permittivity and the thickness of the electret film respectively, z(t) is the time-dependent air gap distance, Q(t) is the time-dependent charge amount on the back electrode, and R is the load resistance in the external circuit. Using the conservation law of charge, the charge amount on the top electrode is given as σS-Q(t). In this simplified configuration, σ was considered invariable with time, meaning that the electret film was regarded as a perfect electret. Fig. 1(b) shows the equivalent circuit diagram of the TENG. Cgap (t) represents the capacitance formed by the air gap between the top electrode and the top side of the electret film, and Cf represents the capacitance formed by the electret film. These two capacitors have one common plate (i.e. the top side of the electret film), and their other two plates (the top and back electrodes) are connected through the resistance load. Therefore, in an electric equilibrium state, the two electrodes should hold an equal electric potential referring to
R
dQ (t ) Q (t ) (d 0 + z (t )) σ z (t ) + = . dt S ε0 ε0
(3)
This equation can be analytically solved if a specified initial condition is given and regarding z(t) as a known analytical function. Here, two typical initial conditions are considered. At first, the most used initial condition is used, i.e. z(0) = 0 and the two electrodes are in the electric equilibrium state at t = 0. According to equation (2), there is
Q (0) = Qeq (0) =
σSz (0) = 0. d 0 + z (0)
(4)
With this condition, equation (3) can be solved as t
Q (t ) =
∫ (d0 + z (u) ) du − 0 R S ε0 e
t
∫ 0
σe
∫0w (d0 + z (u) ) du R S ε0
R ε0
z (w )
dw, (5)
where u and w are intermediate variables for the integration. The output current of the TENG can be derived as 2
Nano Energy 63 (2019) 103856
H. Zhang, et al.
I (t ) =
dQ (t ) σ z (t ) = dt R ε0 ∫0w (d0 + z (u)) du
t
e
∫ (d0 + z (u)) du − 0 RSε 0
−
Table 1 Values of parameters in calculating the output of TENG for comparisons.
R S ε0
t σe 0
(d 0 + z (t )) ∫
z (w )
R ε0
dw .
R S ε0
(6)
Then the output voltage and power of the TENG can be obtained from equation (6) and the Ohm's law. In another case, considering that the top electrode starts to approach the electret film from a distance of zmax at t = 0 (z(0) = zmax) and the two electrodes are in the electric equilibrium state at t = 0, according to equation (2), there is
Q (0) = Qeq (0) =
σSz max = Qmax , d 0 + z max
(7)
where Qmax represents Q(0) under this initial condition. Then Q(t) and I (t) can be solved from equation (3) as: t
Q (t ) =
I (t ) =
∫ (d0 + z (u)) du − 0 R S ε0 e
⎡ ⎢Q + ⎢ max ⎢ ⎣
t
∫
σe
∫0w (d0 + z (u)) du R S ε0
z (w )
R ε0
0
⎤ dw ⎥ ⎥ ⎥ ⎦
−
∫0t (d0 + z (u)) du
⎡ (d 0 + z (t )) ⎢ + Q ⎢ max R S ε0 ⎢ ⎣
t
R S ε0
∫
σe
∫0w (d0 + z (u)) du R S ε0
(8)
z (w )
R ε0
0
⎤ dw ⎥ ⎥ ⎥ ⎦
(9)
Q (t ) = e
I (t ) =
−
R S ε0
⎢Q (0) + ⎢ ⎢ ⎣
t
∫ 0
σe
∫0w (d0 + z (u) ) du R S ε0
R ε0
z (w )
⎤ dw ⎥ ⎥ ⎥ ⎦
t
−
e
⎡ 0 (d 0 + z (t )) ⎢ Q (0) + ⎢ R S ε0 ⎢ ⎣
⎤ dw ⎥ ⎥ ⎥ ⎦
t
∫σe 0
∫0w (d0 + z (u) ) du R S ε0
58.0644 cm2 3.4 125 μm 10 μC/m2 1 mm 0.1 m/s −0.1 m/s 100 m/s2 −100 m/s2 −100 m/s2 100 m/s2
2
(10)
σ z (t ) R ε0 ∫ (d0 + z (u)) du − 0 RSε
S εr df σ Maximum gap zmax Maximum speed v1 Maximum speed v2 Acceleration a1 Deceleration a2 Deceleration a3 Acceleration a4
⎧ a1 t ⎪ 22 ⎪ v1 + v (t − t ) 1 1 ⎪ 2a1 ⎪ a2 (t − t3)2 ⎪ z max + 2 ⎪ a3 (t − t3)2 z (t ) = + z ⎨ max 2 ⎪ v22 ⎪ z max + 2a + v2 (t − t4 ) 3 ⎪ ⎪ a4 (t − T )2 2 ⎪ ⎪ z (t − T ) ⎩
Combining equations (4) ~ (9), the Q(t) and I(t) solved from equation (3) with an arbitrary initial condition can be given as ∫0t (d0 + z (u)) du ⎡
Value
and area of electret film), material parameters (permittivity and surface charge density), and movement speed during the uniform motion with reference [31]. However, we added a large acceleration and deceleration of ± 100 m/s2 and made the movement reciprocating and cyclic. Detailed parameters' values are given in Table 1. The polarity of charges on the electret film was set as negative since the film used in this work is made with skived PTFE which is one of the most triboelectrically negative materials in the triboelectric series [2]. Though we didn't particularly charge the PTFE film before measurements, it could obtain electrostatic negative charges by the triboelectrification with the top electrode (aluminum foil) during the contact and separation processes. Our experimental results also confirm the negative polarity of these electrostatic charges on the PTFE film. At first, the case z(0) = 0 and Q(0) = 0 was considered (the first initial condition). z(t) was described by the following periodic piecewise function
σ z (t ) R ε0 e−
Parameter
z (w )
R ε0
(0 ≤ t < t1) (t1 ≤ t < t2) (t2 ≤ t < t3) (t3 ≤ t < t4 ) (t4 ≤ t < t5) (t5 ≤ t < T ) (t ≥ T )
(12)
v2 2a 4 v2 2a 4
(13)
v1
with
(11)
4. Calculation results 4.1. Parameters for calculations
⎧t1 = a1 ⎪ zmax ⎪ t2 = v1 + ⎪ zmax ⎪ t3 = v + 1
⎨ t4 = zmax v1 ⎪ ⎪ t5 = zmax v1 ⎪ ⎪ T = zmax v1 ⎩
v1 v + 2a1 2a1 2 v1 v1 − 2a 2a1 2 v v + 2a1 − 2a1 1 2 v v + 2a1 − 2a1 1 2 v v + 2a1 − 2a1 1 2
+ − −
v2 a3 zmax v2 zmax v2
+ +
v2 2a3 v2 2a3
+ −
Fig. 1(c) shows the air gap and the relative movement velocity between the top electrode and the electret film during one movement cycle defined by equations (12) and (13) using parameter values in Table 1. The period of one movement cycle (T) is 0.022s, and the top electrode moves at a speed of 0.1 or −0.1 m/s with reference to the electret film during 0.018s in one period. Fig. 1(d) shows the timedependent total capacitance of the TENG (CTENG) which is calculated by the following equation [30,38]:
Based on the modeling part, the output current of a specific TENG can be calculated with given values of parameters. The relative movement between the top electrode and the electret film, described by z(t), is significant to the output of TENGs. In previous researches, mainly two types of movement were studied for the contact-separation mode TENGs. One is a single separation process with a given average velocity, the other one is a simple harmonic movement described by a sine or cosine function. Here, we use a piecewise acceleration-uniform motiondeceleration cyclic movement, which is also an important form of continuous movement, to calculate the output of TENG. For the purpose of comparison, in this section, we used the same geometrical (thickness
CTENG (t ) =
Cf Cgap (t ) Cf + Cgap (t )
=
Sε0 . (d 0 + z (t ))
(14)
The total capacitance is an important factor that directly influences 3
Nano Energy 63 (2019) 103856
H. Zhang, et al.
Fig. 2. Charge transfer processes of the TENG calculated with the load resistances of (a) 1 MΩ, (b) 100 MΩ, and (c) 1 GΩ, using the initial condition that the TENG starts working from the contact position.
explained by characteristics of charging and discharging processes of the RC series circuit. For an RC series circuit, the charge or discharge time of the capacitor depends on the time constant (τ = R × C). With a larger τ, the charge or discharge takes longer time. For instance, in Fig. 2(b), at t = 0, Q(t), Qeq(t), and |ΔQ| (the difference between Q(t) and Qeq(t)) are 0, the CTENG value is Cmax. Then CTENG decreases but is still high, the z(t)-dependent Qeq(t) increases fast but the Q(t) increases slower because of large τ with high CTENG, making |ΔQ| increase. With CTENG further decreasing, τ decreases a lot so that the charge can transfer faster, and |ΔQ| is gradually reduced to 0 at the time marked by the first vertical dash-dot line. After that, both Qeq(t) and Q(t) decrease but CTENG increases dramatically, resulting in an increasing τ and |ΔQ|. When a whole movement cycle ends, Qeq(t) decreases to 0 but Q(t) is still much larger than 0. Then Qeq(t) starts to increase again in the second movement cycle, τ starts to decrease, meanwhile Q(t) keeps decreasing until the moment that |ΔQ| becomes 0 again as marked by the second vertical dash-dot line. Then the second charge transfer cycle begins. The charge transfer cycle (including an entire positive and an entire negative current peaks) lags the movement cycle, resulting in that transferred charge amount in the first positive current peak (Qtrp1) is larger than that in the first negative current peak (Qtrn1) and in following current peaks (Qtrp2, Qtrn2, Qtrp3 …), making the first current peak higher than the others. In Fig. 2(b), Ipp1 is ~4.8 μA, Inp1 is ~-0.35 μA, and Ipp2 is ~0.77 μA. At last, in Fig. 2(a), the positive current peaks have a larger amplitude of ~24.5 μA than that of negative peaks of 18.6 μA in latter charge transfer cycles even with the same transferred charge amount (Qtrp2 = Qtrn2 = Qtrp3 = …). And in Fig. 2(b) and (c), not only the amplitude and the area (physically meaning transferred charge amount Qtrp) of the positive current peaks (Ipp) are apparently larger than those of the negative ones (Inp and Qtrn), but also the time duration of the
the output performance of TENG because the whole circuit of the TENG can be regarded as a resistor-capacitor (RC) series circuit constituted by the total capacitance and the load resistance. In equation (14), the fringe effect is ignored since the side length of the TENG (3 inches) is much larger than the thickness of the electret film (125 μm) and the maximum air gap (1 mm) used in our calculations. The maximum total capacitance (Cmax), minimum total capacitance (Cmin), and their ratio (Cmax/Cmin) have significant influences on the efficiency of TENG according to other researches [42,43]. In our calculations, Cmax is near 1398 pF, Cmax is near 50 pF, and Cmax/Cmin is about 28. 4.2. The charge transfer process Fig. 2(a)~(c) show calculated charge transfer processes of the TENG in the first three movement cycles with a load resistance of 1 MΩ, 100 MΩ, and 1 GΩ respectively. Firstly, by comparing the R-related Q(t) with the Qeq(t) which is only dependent on z(t), it can be found that positive charges will transfer to the back electrode when Q(t) < Qeq(t), generating positive current. Here we defined that current is positive when positive charges transfer from the top electrode to the back electrode, with all results in this article based on the same definition. And when Q(t) > Qeq(t), positive charges will transfer in an opposite direction, generating negative current. The vertical dash-dot lines in Fig. 2(a)~(c) mark the moment when Q(t) = Qeq(t) and meanwhile I (t) = 0. It can be summarized that the difference between Q(t) and Qeq(t) leads to the charge transfer between the two electrodes in a direction that can reduce this difference. Secondly, the first positive current peak (Ipp1) has an obviously larger amplitude than other current peaks. For example, Ipp1 in Fig. 2(a) is ~36 μA, while the first negative current peak (Inp1) is ~-18.6 μA and the second positive current peak (Ipp2) is ~24.5 μA. This can be 4
Nano Energy 63 (2019) 103856
H. Zhang, et al.
Fig. 3. Output characteristics of the TENG calculated with the different load resistances during 10 movement cycles, using the initial condition that the TENG starts working from the contact position. (a) Time-dependent Q(t), (b) I (t), and (c) V(t) of the TENG. (d) The variation in the amplitude of Q(t), with inset showing the variation in transferred charge amounts in two directions (Qtrp and Qtrn). (e) Positive (Vpp) and (f) negative (Vnp) voltage peak values with fitted curves. (g) Fitted variation trend of Vpp and Vnp in 6s. (h) Vpp1 and Vpp10 values with different load resistances. (i) Vnp1 and Vnp10 values with different load resistances.
and Vnp values with resistances of 100 MΩ, 1 GΩ, and 10 GΩ in the first ten cycles are plotted in Fig. 3(e) and (f) respectively. We found that Vpp and Vnp values vary with time perfectly in accordance with the following equation:
positive current peak (tdpp) is apparently longer than the negative one (tdnp) in each charge transfer cycle. Moreover, it can be noticed from Fig. 2(b) and (c) that Ipp and tdpp gradually decrease from the first to the third charge transfer cycle, meanwhile the amplitude of Inp and tdnp gradually increase. This asymmetric characteristic is also attributed to the lag between the charge transfer cycle and the movement cycle. And it becomes more obvious when R is larger since a higher R leads to larger τ that heavily retards the charge transfer process. This will be further discussed in the following section 4.3.
Vp (t ) = Vs + Va exp (−(t − t0)/ τd ),
(15)
where t0 is the time when the first corresponding voltage peak value (Vpp1 for Vpp values, and Vnp1 for Vnp values) appears, τd is a fitting parameter with the same unit of time, Vs and Va are two other fitting parameters with the same unit of voltage. These parameter values are given in Table 2. All adjusted coefficients of determination of these fittings are 1, indicating perfect fittings. Standard errors of these parameters in fitting are given in Table S1 in the supporting information. The time-varying part in equation (15) has the same exponential form as the discharging curve equation of an RC circuit. In analogy with the RC circuit discharging process, we define the parameter τd as the time constant of this variation. We can find from Table 2 that τd is almost directly proportional to the resistance value R especially for the high R of 1 GΩ and 10 GΩ, and the proportionality coefficient is about 9.57 × 10−11 for both Vpp and Vnp fittings, meaning that it takes longer time for the TENG to give steady output with higher R than with lower R. From equation (15), it can be inferred that the Vpp or Vpp value will gradually approach the corresponding Vs (steady peak voltage) value when the time is long enough. By using equation (15) and parameters’ values in Table 2, Vpp and Vnp values in 6 seconds were calculated and
4.3. Amplitude-variable outputs of the TENG with different load resistances Fig. 3(a)~(c) show the calculated Q(t), I(t) and output voltage V(t) of the TENG with different load resistances in the first 10 movement cycles. In Fig. 3(a), all Q(t) calculated with different load resistances show smaller variation range than Qeq(t) in each charge transfer cycle, and a higher R leads to a smaller variation range, meaning that fewer charge is transferred due to the larger resistance. With the resistance of 1 MΩ, 10 MΩ, and 100 MΩ, the variation of Q(t) is limited in a stable range after three charge transfer cycles. Taking the charge transfer process with R of 100 MΩ as an example shown in Fig. 3(d), the amplitude of Q(t) varies from the first to the third charge transfer cycles and then is limited between steady upper and lower limiting values marked by the red and black dash lines, respectively. This is because Qtrp is larger than Qtrn in the first and second charge transfer cycles and becomes the same with Qtrn at the third cycle as shown in the inset of Fig. 3(d). While with the resistance of 1 GΩ and 10 GΩ, the amplitude of Q(t) keeps a growing trend in 10 movement cycles. In Fig. 3(b), higher resistance leads to lower current amplitude, which is in good accordance with previous researches [30,31]. Lower current amplitudes with higher resistances make the current peaks and their variations unobservable in Fig. 3(b). On the contrary, the output voltage is higher with higher resistance, making the variation in the amplitude of output voltages with higher resistances prominent as shown in Fig. 3(c). With the resistance of 1 MΩ, 10 MΩ, and 100 MΩ, the positive voltage peak value (Vpp) and the negative voltage peak value (Vnp) vary to steady ranges in three cycles. With the high resistance as 1 GΩ and 10 GΩ, Vpp shows an apparent decreasing trend during all the ten cycles. All Vpp
Table 2 Parameter values in fitting Vpp and Vnp with the first initial condition. Parameters
Load resistance R 100 MΩ
1 GΩ
10 GΩ
Fitting parameters for Vpp Vs (V) t0 (s) Va (V) τd (s)
5
35.65 0.007545 444 0.009866
38.7 0.0108 974.7 0.09574
38.75 0.01098 1079 0.9573
100 MΩ
1 GΩ
10 GΩ
Fitting parameters for Vnp −38.36 0.02198 3.856 0.009573
−38.69 0.022 30.75 0.09573
−38.7 0.022 37.82 0.9573
Nano Energy 63 (2019) 103856
H. Zhang, et al.
Table 2, Va is larger with larger resistance for both Vpp and Vnp, meaning that rangeability of Vpp or Vnp is larger with higher resistance. Calculated Vpp1, Vnp1, and Vnp10 with different resistances are shown in Fig. 3(h) and (i). Both Vpp1 and Vpp10 increase with increasing R and saturate at a value of ~1130 V when R is high enough, while the absolute values of Vnp1, and Vnp10 increase with R from 1 MΩ to 100 MΩ and then decrease with increasing R. Besides the transferred charge, output current, and output voltage, the output power is the most important to evaluate the performance of the TENG. Fig. 4(a) shows the calculated time-dependent output power P(t) of the TENG with different load resistances in the first 10 movement cycles by the following equation:
P (t ) = I 2 (t ) R.
(16)
In the first movement cycle, the maximum peak P(t) increases from ~1.29 mW to ~2.30 mW when R increases from 1 MΩ to 100 MΩ, and then decreases to ~0.125 mW when R further increases 10 GΩ. However, in following movement cycles, P(t) peak values are much lower than those in the first cycle, especially for P(t) with R of 10 MΩ and 100 MΩ. This can also be noticed from Fig. 4(b) that presents the output energy W(t) of the TENG to different load resistance based on the following equation:
Fig. 4. Output power and energy of the TENG calculated with the different load resistances during the first ten movement cycles, using the initial condition that the TENG starts working from the contact position. (a) Instantaneous output power (P(t)) of the TENG. (b) Time-dependent output energy (W(t)) of the TENG. (c) Average output power per movement cycle (AvgP) of the TENG. (d) The first P(t) peak value, and the AvgP in the first and tenth movement cycles of the TENG with different load resistances.
t
W (t ) =
∫ P (t ) dt. 0
shown in Fig. 3(g). Though the first Vpp and Vnp values with 100 MΩ, 1 GΩ, and 10 GΩ are so different as shown in Fig. 3(e) and (f), after 6 seconds, their difference becomes very small since the Vs values with 100 MΩ, 1 GΩ, and 10 GΩ are very close, as given in Table 2. The parameter Va determines the difference between the Vpp1 or Vnp1 and the corresponding Vs, which determines rangeability of Vpp or Vnp. In
(17)
Though the output energy with R of 100 MΩ after the first movement cycle is much higher than those with other resistances, in following cycles little energy is output with R of 100 MΩ and the total energy is overpassed by that with R of 1 GΩ after several cycles. The average output power (AvgP) of the TENG in each movement cycle can be calculated by the following equation:
Fig. 5. Charge transfer processes of the TENG calculated with the load resistances of (a) 1 MΩ, (b) 100 MΩ, and (c) 1 GΩ, using the initial condition that the TENG starts working from the separated position. 6
Nano Energy 63 (2019) 103856
H. Zhang, et al.
AvgP (c ) =
c T ∫(c −*1) T P (t ) dt
*
T
,
Table 3 Parameter values in fitting Vpp and Vnp with the second initial condition.
(18)
Parameters
where c is the movement cycle number and T is the period of the movement given in equation (13). As shown in Fig. 4(c), in the first cycle, the TENG outputs the highest average power of ~806 μW with R of 100 MΩ among calculated resistances. But at the tenth cycle, the AvgP with R of 1 MΩ is the highest as ~45 μW, and the AvgP with R of 100 MΩ becomes the lowest as ~5.6 μW among all calculated values. The first P(t) peak values and AvgP values at the first and the tenth cycles with different load resistances are plotted in Fig. 4(d) for better comparison.
Load resistance R 100 MΩ
1 GΩ
10 GΩ
Fitting parameters for Vpp Vs (V) t0 (s) Va (V) τd (s)
35.66 0.02116 −3.743 0.009562
38.66 0.02198 −30.73 0.09568
38.71 0.022 −37.83 0.9578
100 MΩ
1 GΩ
10 GΩ
Fitting parameters for Vnp −38.36 0.01095 −0.3658 0.009549
−38.69 0.011 −1.221 0.09573
−38.7 0.011 −1.357 0.9573
at first and then goes to near-stable ranges in three cycles with R of 1 MΩ, 10 MΩ, and 100 MΩ, but it keeps varying even after ten cycles with higher R of 1 GΩ and 10 GΩ. Vpp and Vnp values also vary with time perfectly in accordance with equation (15). The parameter values in fitting Vpp and Vpp in Fig. 6(c) are given in Table 3. Standard errors of these parameters in fitting are given in Table 2S in the supporting information. Vs values in Table 3 are almost the same with those in Table 2, meaning that peak values of V(t) of the TENG with these two different initial conditions will finally be the same. Va values in Table 3 are all negative, meaning that the amplitude of the positive voltage peak (|Vpp|) gradually increases but that of negative voltage peak (|Vnp|) decreases with the cycle number. Each |Va| is smaller than the corresponding one in Table 2, reflecting the fact that variation ranges in the amplitude of V(t) in Fig. 6(c) are smaller than those in Fig. 3(c) with the same R. And the time constant τd values in Table 3 are almost the same with those corresponding in Table 2. Fig. 6(d) shows V(t) in the first 25 movement cycles of the TENG with R of 1 GΩ as an example. The amplitude of positive voltage peaks shows an apparent increasing trend and then approaches to a steady value, while the amplitude of negative voltage peaks slightly decreases and then approaches to a steady value. And the variation of V(t) is limited between the fitted lines for Vpp and Vnp using the values of parameters given in Table 3. The output voltage peak values with this initial condition are plotted in Fig. 6(e) and (f). For positive voltage peaks, both the Vpp1 and Vpp10 firstly increase with R from 1 MΩ to 100 MΩ, and then both decrease with higher R. Nevertheless, the final steady Vpp value shows a monotone increasing trend with R. For the negative voltage peaks, the amplitude of Vnp1, Vnp10 and steady Vnp values all monotonically increase with R from 1 MΩ to 10 GΩ. To be more explicit, the steady Vpp and Vnp values with R of 100 MΩ, 1 GΩ, and 10 GΩ are estimated from the corresponding Vs values in Table 3. Fig. 7(a)~(c) present the output power, energy, and average power per movement cycle of the TENG in the first 10 movement cycles, using with the second initial condition. The influence of R on the output
4.4. Calculation with another initial condition Then the case z(0) = zmax and Q(0) = Qmax was considered (the second initial condition), using the same parameter values in Table 1. The time-dependent z(t) and the relative movement velocity between the top electrode and the electret film during one movement cycle are plotted in Fig. S2 in the supporting information. Fig. 5(a)~(c) shows the calculated charge transfer process of the TENG in the first three movement cycles with a load resistance of 1 MΩ, 100 MΩ, and 1 GΩ, respectively. The first current peak is negative due to the moving direction is opposite to that in Fig. 2, and the amplitude of the first current peak (Inp1) shows a smaller difference with other current peaks than in Fig. 2. For instance, in Fig. 5(a), the first to the third negative current peaks have the same value of ~-18.6 μA, and the first to the third negative current peaks have the same value of ~24.5 μA. Moreover, in Fig. 5(b) and (c), the amplitude of Inp is higher than that of Ipp, but their difference is also smaller than that in Fig. 2(b) and (c). This is also due to variations of CTENG and |ΔQ|. For instance, in Fig. 5(b), in the time duration of the first negative current peak (tdnp1), both the maximum |ΔQ| and CTENG are much larger than those in the time duration of the first positive current peak (tdpp1). So even though the transferred charge amount in the time duration of tdnp1 is larger, it takes longer time to complete the charge transfer than that in the time duration of tdpp1 (meaning tdnp1 > tdpp1), which contributes to making the difference between the amplitude of Inp and Ipp less than that in Fig. 2. In addition, it can be noticed from Fig. 5(b) and (c) that the amplitude of Inp and tdnp gradually decrease from the first to the third charge transfer cycle, meanwhile Ipp and tdpp gradually increase. Fig. 6(a)~(c) show the calculated Q(t), I(t) and V(t) of the TENG with different load resistances in the first 10 movement cycles using the second initial condition. Variations in the amplitude of Q(t) and I(t) with high R are not easy to observe in Fig. 6(a) and (b), but the variation in the amplitude of V(t) can be clearly noticed in Fig. 6(c). In comparison with Fig. 3(c), it's similar that the amplitude of V(t) varies
Fig. 6. Output characteristics of the TENG calculated with the different load resistances during the first 10 movement cycles, using the initial condition that the TENG starts working from the separated position. (a) Time-dependent Q(t), (b) I(t), and (c) V(t) of the TENG. (d) Output V(t) of the TENG with a load resistance of 1 GΩ during 25 movement cycles, with the variation trend in the amplitude of V(t) marked by fitted curves for output voltage peak values. (e) Positive (Vpp) and (f) negative (Vnp) voltage peak values of the TENG with different load resistances during the first and tenth movement cycles and their steady values.
7
Nano Energy 63 (2019) 103856
H. Zhang, et al.
Fig. 7. Output power and energy of the TENG calculated with different load resistances during the first 10 movement cycles, using the initial condition that the TENG starts working from the separated position. (a) Instantaneous output power (P(t)) of the TENG. (b) Output energy (W(t)) of the TENG. (c) Average output power per movement cycle (AvgP) of the TENG. (d) The first P(t) peak value, and the AvgP in the first and tenth movement cycles of the TENG with different load resistances.
power and average power is shown in Fig. 7(d). In all movement cycles, lower R leads to both higher peak power and average power, which is different from the result shown in Fig. 4. Values of the output power peak and the average power in the first movement cycle with different R are lower than those in Fig. 4(d). More similarities and differences in the output energy and power of the TENG calculated from these two initial conditions are discussed in section 4.5.
Fig. 8. Comparisons in QV cycles calculated from the two different initial conditions. (a) QV cycle diagrams of the TENG calculated from the first initial condition with different load resistances. (b) QV cycle diagrams of the TENG calculated from the second initial condition with different load resistances. (c), (d), and (e) QV cycle diagrams of the TENG calculated from the first and second initial conditions with a load resistance of 1 MΩ, 100 MΩ, and 1 GΩ respectively. (f) The influence of the load resistance on the output average power per movement cycle of the TENG calculated from the second initial condition.
4.5. QV cycles and the optimum load resistance
from these two initial conditions overlap with each other. In addition, Fig. S4 in the supporting information indicates that the TENG finally outputs the same QV diagram using another initial condition z (0) = zmax/2 and Q(0) = Qeq(0). We can infer from these results that the QV cycle of a TENG driven by steady periodic movement cycles will finally become a specific steady closed loop with a specific R and periodic driving movement after long enough time (when Qtrp equals Qtrn as shown in the inset of Fig. 3(d)), and it takes longer time for the TENG to output the steady QV cycle if with enough higher R than with lower R. It should be noticed that all these results are calculated on the basis that the movement is continuous without pause, otherwise, with pause among the contact and separation, the output power of the TENG that starts working from the first initial condition will probably have larger output power since the charge transfer can be more complete during the pause in the contact state. To get the more accurate optimum load resistance that making the TENG output the maximum steady AvgP, the AvgP in the third movement cycle of the TENG with R from 0.5 MΩ to 2 MΩ were calculated by using the second initial condition and shown in Fig. 8(f). The AvgP increases and then decreases with increasing R and gets the maximum value of ~45.27 μW with R of 1.2 MΩ among the calculated data.
The output energy of the TENG can be explicitly evaluated from the charge-voltage (QV) cycle diagram. Fig. 8(a) an (b) show the QV cycles of the TENG during no less than 10 movement cycles calculated from the first and the second initial conditions respectively. The area of the QV loop equals the output energy of the TENG per charge transfer cycle [44]. In Fig. 8(a), with relatively low R as 1 MΩ, 10 MΩ, and 100 MΩ, the QV line shows a large span semi-circular arc shape during the first charge transfer cycle and then becomes a closed loop in less than 3 movement cycles, while for the results with high R as 1 GΩ, and 10 GΩ, the QV line keeps unclosed with a damped variation trend in calculated 30 movement cycles. In Fig. 8(b), with R of 1 MΩ, 10 MΩ, and 100 MΩ, there is no span semi-circular arc-shaped line and the QV line becomes a closed loop in less than 3 movement cycles, while with higher R as 1 GΩ, and 10 GΩ, the QV line keeps unclosed with a growing variation trend in calculated 25 movement cycles. The area of the QV cycle with R of 1 MΩ in Fig. 8(b) is the largest as ~ 0.99 μJ per cycle among those with all the calculated resistances, which is also in accordance with the results presented in Fig. 7(b)~(d). For a better comparison, the Q-V data calculated with these two different initial conditions with R of 1 MΩ, 100 MΩ, and 1 GΩ were plotted in Fig. 8(c)-(e) respectively. Fig. 8(c) and (d) demonstrate the results of the first 10 movement cycles from the first initial condition (from 0) and the first 10 cycles from the second initial condition (from Qmax). The QV cycles determined by the two initial conditions become overlapped after the first cycle with R of 1 MΩ, and it takes about three cycles for those with R of 100 MΩ to become overlapped. In Fig. 8(e) with the data of the first 100 cycles from the first and second initial conditions, both QV cycles get closer and closer but not overlap at least in the first 25 cycles. Fig. S3 in the supporting information clearly shows that the 100th QV cycles of the TENG with R of 1 GΩ starting
5. Experimental verification To verify the calculated results above, a TENG using a 4 cm × 4 cm sized 100 μm-thick PTFE film (εr = 2.1) as the triboelectric-electret layer was measured according to details given in section 2.2. Values of parameters for movement (zmax, v1, v2, a1, a2, a3, and a4) were set in the control software of the linear motor as values listed in Table 1. However, due to the complexity of real forces caused by the strike, vibration, or imprecise control during the movement of the slider block of the linear motor, the recorded values of movement parameters are slightly 8
Nano Energy 63 (2019) 103856
H. Zhang, et al.
Fig. 9. Experimental and calculated data for a PTFE electret film-based TENG that starts working from the contact and separated positions respectively. (a) The air gap data got from the linear motor system during the measurement of the TENG. (b) The movement velocity data got from the linear motor system during the measurement of the TENG. (c) The shortcircuit transferred charge amount data of the TENG. (d), (e), and (f) Measured output voltage of the TENG with a load resistance of 10 MΩ, 100 MΩ, and 1.1 GΩ, respectively. (d), (e), and (f) Output voltage of the TENG calculated with a load resistance of 10 MΩ, 100 MΩ, and 1.1 GΩ, respectively.
different from the set ones. Fig. 9(a) and (b) show z-t and v-t data recorded by the control software of the linear motor. The actual maximum air gap is about 0.7 mm during the movement of the slider block, and the maximum speed in two directions is about 0.14 m/s and −0.17 m/s respectively. The slider block keeps almost still for ~0.011 s when it moves to the position of z = 0, and it moves at rather low velocity for ~0.011 s when it gets close to the position of z = 0.7 mm. To simplify the calculation, the movement velocity during these two durations of 0.011 s was set as 0, and these two durations were named the waiting time tw1 and tw2. The acceleration and deceleration of the slider block were estimated according to the fitting results of the v-t data as shown in Figs. S5 and S6 in the supporting information. To estimate the charge density on the PTFE film, the transfer charge amount of the TENG was measured, with setting the zmax as 10 mm and the slider block keeps still for 5 s when it moves to both positions of z = 0 and z = zmax. With such a large zmax and still duration, it's reasonable to assume that the short-circuit transferred charge amount approximates to the charge amount on the PTFE film [29,45]. From the measured transferred charge results shown in Fig. 9(c), the polarity of charges on the PTFE film was confirmed to be negative since positive charges were transferred from the top electrode to the back electrode during the separation process, and in the opposite direction when the top electrode approaches the electret film. And the charge density of the PTFE film was estimated around −50 μC/m2, according to the measured maximum transferred charge amount of ~80 nC for a 4 cm × 4 cm sized PTFE film. The measured output voltages of the TENG with the load resistance of 10 MΩ, 100 MΩ, and 1.1 GΩ are plotted in Fig. 9(d)~(f). And the calculated output voltages of the TENG with corresponding load resistances are presented in Fig. 9(g)~(i). The parameter values for calculations are set according to measured data in Fig. 9(a)~(c) and listed in Table 4. The z(t), v(t), and CTENG(t) data using these parameter values are shown in Fig. S4 in the supporting information. With R of 10 MΩ, both the calculated and measured output voltages have no apparent variation in the peak amplitude for both initial conditions. With R of 100 MΩ, the first positive voltage peak of both the calculated and measured output voltages using the first initial condition has a much larger amplitude than other peaks. And with R of 1.1 GΩ, apparent variations in the amplitude of voltage peaks appear both in the
Table 4 Parameter values in calculating the output of TENG for experimental validation. Parameter
Value
S εr df σ Maximum gap zmax Maximum speed v1 Maximum speed v2 Acceleration a1 Deceleration a2 Waiting time tw1 Deceleration a3 Acceleration a4 Waiting time tw1 Waiting time tw2
16 cm2 2.1 100 μm 50 μC/m2 0.7 mm 0.14 m/s −0.17 m/s 33 m/s2 −33 m/s2 0.11 s −50 m/s2 50 m/s2 0.11 s 0.11 s
experimental and calculated data during several movement cycles, especially for the result using the first initial condition, and then the amplitude of voltage peaks becomes almost the same for both initial conditions. These results confirm the presence of variations in the amplitude of output voltages of the TENG with high load resistances and reveal the influence of the initial condition and the load resistance on the output of the TENG.
6. Conclusions In conclusion, we used symbolic computations in MATLAB to calculate the charge transfer process and output current/voltage/power of a TENG driven by a piecewise periodic reciprocating movement with acceleration/deceleration processes, with a load resistance of 1 MΩ, 10 MΩ, 100 MΩ, 1 GΩ, and 10 GΩ, respectively. It is found that the amplitude of the output current/voltage of the TENG varies over time in an exponential form, resulting from the lag between the charge transfer cycle and the movement cycle. This lag also leads to the asymmetric characteristics between the output positive and negative current/voltage peaks. The larger the load resistance is, the longer time it takes for 9
Nano Energy 63 (2019) 103856
H. Zhang, et al.
the TENG to get steady output. When the TENG starts working from the contact position, the variation range of the output voltage peaks is larger than that when the TENG starts working from the fully-separated position, despite the same load resistance, and the average output power and the optimum load resistance of the TENG in the steady output range are quite different from those in the first working cycle. It is also found that the TENG finally outputs the same steady QV cycle with the same load resistance and periodical driving movement after long enough time. Moreover, the variations in the output voltage peaks of a PTFE film-based TENG with different load resistances and initial conditions were confirmed by both experiments and calculations. It is worth mentioning that, for comparison with other works [31,38], regular periodic movements are used for the calculations in this work. External movements provided by a human (such as finger presses) and other moving objects (cars, trains, flags, etc.) are mostly irregular and more complicated. Nevertheless, our results remind that the match between the charge transfer characteristics (which can be regulated by the TENG structure parameters such as the electret film thickness, or by the power management circuit) and the mechanical source characteristics (such as frequency) should be considered in building efficient TENG-powered systems.
032. [14] H. Zhang, S. Feng, D. He, Y. Xu, M. Yang, J. Bai, An electret film-based triboelectric nanogenerator with largely improved performance via a tape-peeling charging method, Nano Energy 48 (2018) 256–265 https://doi.org/10.1016/j.nanoen.2018. 03.051. [15] Y. Yang, H. Zhang, X. Zhong, F. Yi, R. Yu, Y. Zhang, Z.L. Wang, Electret film-enhanced triboelectric nanogenerator matrix for self-powered instantaneous tactile imaging, ACS Appl. Mater. Interfaces 6 (2014) 3680–3688 https://doi.org/10. 1021/am406018h. [16] Z.L. Wang, Triboelectric nanogenerators as new energy technology and self-powered sensors–principles, problems and perspectives, Faraday Discuss 176 (2015) 447–458 https://doi.org/10.1039/C4FD00159A. [17] F.-R. Fan, L. Lin, G. Zhu, W. Wu, R. Zhang, Z.L. Wang, Transparent triboelectric nanogenerators and self-powered pressure sensors based on micropatterned plastic films, Nano Lett. 12 (2012) 3109–3114 https://doi.org/10.1021/nl300988z. [18] X. Wang, H. Zhang, L. Dong, X. Han, W. Du, J. Zhai, C. Pan, Z.L. Wang, Selfpowered high-resolution and pressure-sensitive triboelectric sensor matrix for realtime tactile mapping, Adv. Mater. 28 (2016) 2896–2903 https://doi.org/10.1002/ adma.201503407. [19] F. Yi, L. Lin, S. Niu, J. Yang, W. Wu, S. Wang, Q. Liao, Y. Zhang, Z.L. Wang, Selfpowered trajectory, velocity, and acceleration tracking of a moving object/body using a triboelectric sensor, Adv. Funct. Mater. 24 (2014) 7488–7494 https://doi. org/10.1002/adfm.201402703. [20] A. Yu, M. Song, Y. Zhang, Y. Zhang, L. Chen, J. Zhai, Z.L. Wang, Self-powered acoustic source locator in underwater environment based on organic film triboelectric nano-generator, Nano Res 8 (2015) 765–773 https://doi.org/10.1007/ s12274-014-0559-z. [21] B. Wang, J. Zhong, Q. Zhong, N. Wu, X. Cheng, W. Li, K. Liu, L. Huang, B. Hu, J. Zhou, Sandwiched composite fluorocarbon film for flexible electret generator, Adv. Electron. Mater. 2 (2016) 1500408 https://doi.org/10.1002/aelm. 201500408. [22] M.L. Seol, J.H. Woo, S.B. Jeon, D. Kim, S.J. Park, J. Hur, Y.K. Choi, Vertically stacked thin triboelectric nanogenerator for wind energy harvesting, Nano Energy 14 (2015) 201–208 https://doi.org/10.1016/j.nanoen.2014.11.016. [23] J. Ryu, J.E. Kang, Y. Zhou, S.Y. Choi, W.H. Yoon, D.S. Park, J.J. Choi, B.D. Hahn, C.W. Ahn, J.W. Kim, Y.D. Kim, S. Priya, S.Y. Lee, S. Jeong, D.Y. Jeong, Ubiquitous magneto-mechano-electric generator, Energy Environ. Sci. 8 (2015) 2402–2408 https://doi.org/10.1039/c5ee00414d. [24] Z.C. Quan, C.B. Han, T. Jiang, Z.L. Wang, Robust thin films-based triboelectric nanogenerator arrays for harvesting bidirectional wind energy, Adv. Energy Mater. 6 (2016) 1501799 https://doi.org/10.1002/aenm.201501799. [25] C. Zhang, W. Tang, C. Han, F. Fan, Z.L. Wang, Theoretical comparison, equivalent transformation, and conjunction operations of electromagnetic induction generator and triboelectric nanogenerator for harvesting mechanical energy, Adv. Mater. 26 (2014) 3580–3591 https://doi.org/10.1002/adma.201400207. [26] Y. Naruse, N. Matsubara, K. Mabuchi, M. Izumi, S. Suzuki, Electrostatic micro power generation from low-frequency vibration such as human motion, J. Micromech. Microeng. 19 (2009) 094002 https://doi.org/10.1088/0960-1317/19/ 9/094002. [27] Y. Arakawa, Y. Suzuki, N. Kasagi, Micro seismic power generator using electret polymer film, Proc. PowerMEMS (2004) 187–190 https://doi.org/10.1299/ jsmepes.2004.9.37. [28] Y. Suzuki, D. Miki, M. Edamoto, M. Honzumi, A mems electret generator with electrostatic levitation for vibration-driven energy-harvesting applications, J. Micromech. Microeng. 20 (2010) 104002 https://doi.org/10.1088/0960-1317/20/ 10/104002. [29] Y. Zi, S. Niu, J. Wang, Z. Wen, W. Tang, Z.L. Wang, Standards and figure-of-merits for quantifying the performance of triboelectric nanogenerators, Nat. Commun. 6 (2015) 8376 https://doi.org/10.1038/ncomms9376. [30] S. Niu, Z.L. Wang, Theoretical systems of triboelectric nanogenerators, Nano Energy 14 (2015) 161–192 https://doi.org/10.1016/j.nanoen.2014.11.034. [31] S. Niu, S. Wang, L. Lin, Y. Liu, Y.S. Zhou, Y. Hu, Z.L. Wang, Theoretical study of contact-mode triboelectric nanogenerators as an effective power source, Energy Environ. Sci. 6 (2013) 3576–3583 https://doi.org/10.1039/c3ee42571a. [32] S. Niu, Y. Liu, Y.S. Zhou, S. Wang, L. Lin, Z.L. Wang, Optimization of triboelectric nanogenerator charging systems for efficient energy harvesting and storage, IEEE Trans. Electron Devices 62 (2015) 641–647 https://doi.org/10.1109/ted.2014. 2377728. [33] S. Niu, Y. Liu, S. Wang, L. Lin, Y.S. Zhou, Y. Hu, Z.L. Wang, Theoretical investigation and structural optimization of single-electrode triboelectric nanogenerators, Adv. Funct. Mater. 24 (2014) 3332–3340 https://doi.org/10.1002/adfm. 201303799. [34] S. Niu, Y. Liu, X. Chen, S. Wang, Y.S. Zhou, L. Lin, Y. Xie, Z.L. Wang, Theory of freestanding triboelectric-layer-based nanogenerators, Nano Energy 12 (2015) 760–774 https://doi.org/10.1016/j.nanoen.2015.01.013. [35] S. Boisseau, G. Despesse, A. Sylvestre, Optimization of an electret-based energy harvester, Smart Mater. Struct. 19 (2010) 075015 https://doi.org/10.1088/09641726/19/7/075015. [36] G.M. Sessler, Electrostatic microphones with electret foil, J. Acoust. Soc. Am. 35 (1963) 1354–1357 https://doi.org/10.1121/1.1918697. [37] S. Boisseau, G. Despesse, T. Ricart, E. Defay, A. Sylvestre, Cantilever-based electret energy harvesters, Smart Mater. Struct. 20 (2011) 105013 https://doi.org/10. 1088/0964-1726/20/10/105013. [38] R. Hinchet, A. Ghaffarinejad, Y. Lu, J.Y. Hasani, S.-W. Kim, P. Basset, Understanding and modeling of triboelectric-electret nanogenerator, Nano Energy 47 (2018) 401–409 https://doi.org/10.1016/j.nanoen.2018.02.030.
Acknowledgments H. Zhang and S. Feng acknowledge the financial support from the China Scholarship Council (CSC) during their Ph.D. studies in France. Authors also give thanks to Mr. É. Perrin for his help in setting up the linear motor system. Appendix A. Supplementary data Supplementary data to this article can be found online at https:// doi.org/10.1016/j.nanoen.2019.103856. References [1] F.R. Fan, Z.Q. Tian, Z.L. Wang, Flexible triboelectric generator!, Nano Energy 1 (2012) 328–334 https://doi.org/10.1016/j.nanoen.2012.01.004. [2] Z.L. Wang, Triboelectric nanogenerators as new energy technology for self-powered systems and as active mechanical and chemical sensors, ACS Nano 7 (2013) 9533–9557 https://doi.org/10.1021/nn404614z. [3] G. Zhu, Z.-H. Lin, Q. Jing, P. Bai, C. Pan, Y. Yang, Y. Zhou, Z.L. Wang, Toward largescale energy harvesting by a nanoparticle-enhanced triboelectric nanogenerator, Nano Lett. 13 (2013) 847–853 https://doi.org/10.1021/nl4001053. [4] T. Zhou, L. Zhang, F. Xue, W. Tang, C. Zhang, Z.L. Wang, Multilayered electret films based triboelectric nanogenerator, Nano Res 9 (2016) 1442–1451 https://doi.org/ 10.1007/s12274-016-1040-y. [5] Q. Zhong, J. Zhong, B. Hu, Q. Hu, J. Zhou, Z.L. Wang, A paper-based nanogenerator as a power source and active sensor, Energy Environ. Sci. 6 (2013) 1779–1784 https://doi.org/10.1039/c3ee40592c. [6] J. Zhong, Y. Zhang, Q. Zhong, Q. Hu, B. Hu, Z.L. Wang, J. Zhou, Fiber-based generator for wearable electronics and mobile medication, ACS Nano 8 (2014) 6273–6280 https://doi.org/10.1021/nn501732z. [7] Z.L. Wang, T. Jiang, L. Xu, Toward the blue energy dream by triboelectric nanogenerator networks, Nano Energy 39 (2017) 9–23 https://doi.org/10.1016/j. nanoen.2017.06.035. [8] Z.L. Wang, J. Chen, L. Lin, Progress in triboelectric nanogenerators as a new energy technology and self-powered sensors, Energy Environ. Sci. 8 (2015) 2250–2282 https://doi.org/10.1039/c5ee01532d. [9] H. Ryu, J.H. Lee, U. Khan, S.S. Kwak, R. Hinchet, S.-W. Kim, Sustainable direct current powering triboelectric nanogenerator via intent asymmetrical design, Energy Environ. Sci. 11 (2018) 2057–2063 https://doi.org/10.1039/C8EE00188J. [10] S. Meninger, J.O. Mur-Miranda, R. Amirtharajah, A.P. Chandrakasan, J.H. Lang, Vibration-to-electric energy conversion, IEEE Trans, Very Large Scale Integr. VLSI Syst 9 (2001) 64–76 https://doi.org/10.1109/92.920820. [11] W. Du, X. Han, L. Lin, M. Chen, X. Li, C. Pan, Z.L. Wang, A three dimensional multilayered sliding triboelectric nanogenerator, Adv. Energy Mater. 4 (2014) 1301592 https://doi.org/10.1002/aenm.201301592. [12] Q. Zheng, B. Shi, F. Fan, X. Wang, L. Yan, W. Yuan, S. Wang, H. Liu, Z. Li, Z.L. Wang, In vivo powering of pacemaker by breathing-driven implanted triboelectric nanogenerator, Adv. Mater. 26 (2014) 5851–5856 https://doi.org/10. 1002/adma.201402064. [13] L.B. Huang, W. Xu, G.X. Bai, M.C. Wong, Z.B. Yang, J.H. Hao, Wind energy and blue energy harvesting based on magnetic-assisted noncontact triboelectric nanogenerator, Nano Energy 30 (2016) 36–42 https://doi.org/10.1016/j.nanoen.2016.09.
10
Nano Energy 63 (2019) 103856
H. Zhang, et al.
[39] R.D.I.G. Dharmasena, K.D.G.I. Jayawardena, C.A. Mills, J.H.B. Deane, J.V. Anguita, R.A. Dorey, S.R.P. Silva, Triboelectric nanogenerators: providing a fundamental framework, Energy Environ. Sci. 10 (2017) 1801–1811 https://doi.org/10.1039/ C7EE01139C. [40] K. Dai, X. Wang, S. Niu, F. Yi, Y. Yin, L. Chen, Y. Zhang, Z. You, Simulation and structure optimization of triboelectric nanogenerators considering the effects of parasitic capacitance, Nano Res 10 (2017) 157–171 https://doi.org/10.1007/ s12274-016-1275-7. [41] B. Yang, W. Zeng, Z.H. Peng, S.R. Liu, K. Chen, X.M. Tao, A fully verified theoretical analysis of contact‐mode triboelectric nanogenerators as a wearable power source, Adv. Energy Mater. 6 (2016) 1600505 https://doi.org/10.1002/aenm.201600505. [42] A. Karami, D. Galayko, P. Basset, Characterization of the capacitance variation of electrostatic vibration energy harvesters biased following rectangular charge-voltage diagrams, J. Phys. Conf. Ser. 773 (2016) 012015 https://doi.org/10.1088/ 1742-6596/773/1/012015. [43] Y. Lu, E. O'Riordan, F. Cottone, S. Boisseau, D. Galayko, E. Blokhina, F. Marty, P. Basset, A batch-fabricated electret-biased wideband mems vibration energy harvester with frequency-up conversion behavior powering a UHF wireless sensor node, J. Micromech. Microeng. 26 (2016) 124004 https://doi.org/10.1088/09601317/26/12/124004. [44] D. Galayko, E. Blokhina, P. Basset, F. Cottone, A. Dudka, E.O. Riordan, F. Orla, Tools for analytical and numerical analysis of electrostatic vibration energy harvesters: application to a continuous mode conditioning circuit, J. Phys. Conf. Ser. 476 (2013) 012076 https://doi.org/10.1088/1742-6596/476/1/012076. [45] S. Wang, Y. Xie, S. Niu, L. Lin, C. Liu, Y.S. Zhou, Z.L. Wang, Maximum surface charge density for triboelectric nanogenerators achieved by ionized‐air injection: methodology and theoretical understanding, Adv. Mater. 26 (2014) 6720–6728 https://doi.org/10.1002/adma.201402491.
Delong He received his Ph.D. degree in materials science from Ecole Centrale Paris (France) in 2010. He conducted Post-doc research at CEA-Saclay in 2011 and then at CNRS MSSMat laboratory from 2012 to 2013. Since 2016, he is a permanent research engineer of CentraleSupélec (France). His research interests are multifunctional composite materials and energy.
Hanlu Zhang received his M.S. degree (2016) of Materials Science from Zhengzhou University, under the supervision of Prof. Lin Dong, and he studied at the Beijing Institute of Nanoenergy and Nanosystems as a joint training master candidate during 2013–2015, co-supervised by Prof. Caofeng Pan. Now he is a CSC sponsored Ph.D. candidate directed by Prof. Jinbo Bai at CentraleSupélec of the University of Paris-Saclay. His current research interests are focused on preparations and characterizations of electrets and triboelectric nanogenerators.
Jinbo Bai received his master's degree of Solid Mechanics from Xi'an Jiaotong University in 1985 and Ph.D. degree of Science of Materials from Ecole Centrale Paris in 1991. He was a lecturer of Mechanics of Materials in Northwestern Polytechnic University 1985–1987 and CNRS Researcher then Director of research in Lab. MSSMAT, UMR8579 of Ecole Centrale Paris since 1991. His research interest covers from nuclear materials Zr&Ti, hydrogen storage and embrittlement, composites materials, micromechanical modeling, finite element simulations, carbon nanomaterials' syntheses, characterizations and applications, structural and multi-functional nano/micro composites, hybrid fillers, heat management, energy storage and green energy in general.
Philippe Molinié was born in Suresnes, France, in 1965. He received the Engineering degree from the Ecole Supérieure d’Electricité (CentraleSupélec), Gif-sur-Yvette, France, in 1987, the Ph.D. degree from Université Pierre et Marie Curie, Paris, France, in 1992, and the Habilitation (H.D.R.) degree from Paris-Sud University, Orsay, France, in 2010. He is currently an Associate Professor with CentraleSupélec. His current research interests include electrostatics, dielectric materials characterization, and models of radiation-induced conductivity.
Shan Feng received her B.S. and M.S. degree in Materials Science and Engineering from China University of Geosciences, under the supervision of Prof. Jin TAN. Now she is a CSC sponsored Ph.D. candidate directed by Prof. Jinbo Bai at CentraleSupélec of the University of ParisSaclay. Her research mainly focuses on dielectric material synthesis and characterization, fabrication of triboelectric nanogenerators.
11